iPhone 16 Pro Max
Geekbench AI Score
6106
Single Precision Score
7044
Half Precision Score
6797
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3035
564.5 IPS |
|
|
Image Classification (HP)
|
100% |
2785
518.0 IPS |
|
|
Image Classification (Q)
|
96% |
3143
587.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4414
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15759
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17067
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16646
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3164
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
3474
275.6 IPS |
|
|
Object Detection (Q)
|
92% |
3402
271.5 IPS |
|
|
Face Detection (SP)
|
100% |
7738
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10544
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
8419
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13513
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14815
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13850
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32727
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40403
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38935
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8190
302.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7508
277.2 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1238
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
